Reconstruction in Time-Bandwidth Compression Systems

TL;DR

This paper explores time-bandwidth compression in optical systems using warped dispersion, analyzing the reconstruction process's behavior and its dependence on noise and input signal chirp.

Contribution

It provides a detailed analysis of the reconstruction process in time-bandwidth compression systems, including the effects of noise and input chirp.

Findings

Reconstruction quality depends on signal-to-noise ratio.

Warped group delay dispersion enables effective time-bandwidth compression.

Input signal chirp influences the reconstruction process.

Abstract

Recently it has been shown that the intensity time-bandwidth product of optical signals can be engineered to match that of the data acquisition instrument. In particular, it is possible to slow down an ultrafast signal, resulting in compressed RF bandwidth - a similar benefit to that offered by the Time-Stretch Dispersive Fourier Transform (TS-DFT) - but with reduced temporal record length leading to time-bandwidth compression. The compression is implemented using a warped group delay dispersion leading to non-uniform time stretching of the signal's intensity envelope. Decoding requires optical phase retrieval and reconstruction of the input temporal profile, for the case where information of interest is resides in the complex field. In this paper, we present results on the general behavior of the reconstruction process and its dependence on the signal-to-noise ratio. We also discuss the role of chirp in the input signal.